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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-practical-python-3-for-beginners-2018/
课程评论：没有评论
课程名称：学习实用的Python 3基础（2018） 课程概述：该课程旨在教授任何编程语言的基础知识，以Python 3.6和Anaconda 5.0.0及Jupyter Notebook为工具。适合完全没有编程基础的学习者或者希望从其他编程语言（如R、JavaScript等）转向Python的人士。在课程中，您将学习到以下内容： - 安装Jupyter Notebook IDE - 使用Jupyter Notebook的所有重要功能 - 变量和比较运算符 - 字符串的切片和格式化 - 列表、字典、元组和集合 - 控制流和循环 - 列表、集合和字典推导 - 函数和装饰器，使代码更加Pythonic - 随机模块和内置函数 - lambda表达式和错误处理 - 使用OS模块管理文件 - 处理文本文件和pickle文件 - 生成器和生成器表达式以及函数式编程 - 完全掌握面向对象编程 - 使用Numpy和Pandas模块操作数据框 - 使用Matplotlib模块可视化数据 - 从简单的剪刀石头布游戏开始的项目实践 课程内容将定期更新，包括新的讲座和实践项目。共包含11个习题，并提供完整的解决方案，形式包括ipython文件、PDF文件和讲座解决方案。该课程将持续更新！欢迎查看预览，以感受您将学习的内容。敬请关注！
This course teaches you the fundamentals of any programming language, with Python 3.6 and Anaconda 5.0.0 with Jupyter Notebook! The course is suitable for those are either completely new to programming, or are coming from another programming language (R, JavaScript, etc) and are keen to get a solid grasp of using Python. You'll be learning: Installing Jupyter Notebook IDEUsing all the vital features of Jupyter NotebookVariables and comparison operatorsStrings, slicing and formattingLists, Dictionaries, Tuples and SetsControl flow and loopsList, Set and Dictionary ComprehensionFunctions and decorators to make your code my Pythonic!Random module and Built-in FunctionsLambda expressions and Handling errorsLearn how to manage files with the OS moduleWork with txt and pickle filesGenerators, Generators expressions and functional programmingYou'll fully master Object-Orientated ProgrammingWork with Numpy and Pandas modules for manipulating dataframesVisualize data with Matplotlib moduleWork with projects starting with a simple Scissors, Paper, Rock gameNew lectures and practical projects will be added regularly. There are a total of 11 exercises with full solutions provided as ipython files, pdf files and lecture solutions. This course will be kept up to date! Check out the previews to get a taster of what you'll learn. Cheers!
